Yonatan Mintz, a 2018 Berkeley IEOR Ph.D. graduate, was recently appointed Assistant Professor at the University of Wisconsin-Madison’s Department of Industrial and Systems Engineering. Mintz applies optimization and machine learning methods to tailor healthcare interventions to individuals. Mintz’s research portfolio includes leveraging patient data to hone personalized health and wellness solutions through wearable technology, to…

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Three former Berkeley IEOR/ORMS undergraduate students, Liangyuan Na (B.A. Operations Research & Management Science ’18), Cong Yang (B.S. Industrial Engineering & Operations Research ’18), and Chi-Cheng Lo (B.S. Industrial Engineering & Operations Research ’18) are finalists in the INFORMS Undergraduate Operations Research Prize Competition. The students were advised by IEOR assistant professor Anil Aswani, and…

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Abstract: Computation promises to greatly enhance the electric grid through optimization and machine learning. However, many computational problems remain unsolved at the scale, speed, and quality necessary for the real world, due to issues of complexity and nonconvexity. In the first part of this talk, we solve the optimization problem known as optimal power flow…

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Abstract: Computation promises to greatly enhance the electric grid through optimization and machine learning. However, many computational problems remain unsolved at the scale, speed, and quality necessary for the real world, due to issues of complexity and nonconvexity. In the first part of this talk, we solve the optimization problem known as optimal power flow…

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Abstract: The presentation will cover our recent developments in machine learning’s application to lung cancer detection and diabetes diagnosis. Lung cancer is the leading cause of cancer deaths world-wide. Early detection of cancer is critical for therapeutic effectiveness and survival improvement. DNA methylation is known to provide potential biomarkers for assessment of cancer risk. Early…

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Abstract: The presentation will cover our recent developments in machine learning’s application to lung cancer detection and diabetes diagnosis. Lung cancer is the leading cause of cancer deaths world-wide. Early detection of cancer is critical for therapeutic effectiveness and survival improvement. DNA methylation is known to provide potential biomarkers for assessment of cancer risk. Early…

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